
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "121"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 104 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 100 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.281369	-0.413458	3.215546	16.993414	0.271589	5.190575	2.180576	20.334957	0.7952	0.8133	0.2450	14.286687	15.089061
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.592001	1.445822	3.916562	19.712190	6.227062	3.722754	0.283879	13.795763	0.7507	0.7465	0.2441	7.550222	6.462479
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.050694	-0.519383	-0.024379	3.349680	2.316390	0.524104	2.666889	1.840994	0.0336	0.0299	0.0007	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.954101	3.733862	3.728946	22.359676	6.267104	2.316574	7.867231	17.208167	0.6874	0.6940	0.3545	10.367141	8.431782
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.210811	4.292203	4.227446	21.222275	5.408411	1.974114	2.588342	20.509619	0.6893	0.6929	0.3500	8.393548	6.810173
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.921582	2.806797	3.556605	19.398027	0.743379	4.986233	1.683477	16.843829	0.7266	0.7184	0.2752	8.136138	6.872545
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.555264	-0.134807	0.999639	23.498779	19.875728	3.592661	1.347743	9.310448	0.7919	0.7809	0.2102	12.939728	9.877839
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1.951965	3.610018	1.224903	33.087227	5.525962	4.757571	10.005957	15.040839	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	313.323650	311.560214	inf	inf	10.418068	12.827718	196.196100	547.284430	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.785497	18.177674	2.237787	9.047689	0.913686	7.441411	11.760158	7.858976	0.0359	0.0297	0.0014	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.051031	18.106009	5.660230	30.468528	14.398307	50.886473	9.620704	15.471607	0.6794	0.6652	0.3754	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.853481	3.908508	3.282692	20.607364	2.746748	3.450993	3.042168	11.894016	0.6881	0.6488	0.3859	4.721032	3.279558
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.592201	5.229855	3.588725	22.919591	5.833713	3.009427	3.768033	13.149438	0.6977	0.6594	0.3806	5.444108	3.369404
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.730241	19.962424	33.721237	37.214682	20.654006	24.022283	6.927747	1.557959	0.0669	0.0603	0.0059	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.54%	0.00%	0.00%	100.00%	0.00%	2.427725	2.577025	10.120153	7.922869	6.911403	0.554547	3.128332	32.389508	0.6711	0.6912	0.3739	8.297902	5.934486
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	100.00%	0.00%	1.08%	0.00%	100.00%	0.00%	1.867732	3.802289	5.994305	6.068890	8.953533	0.783257	6.731419	20.522909	0.6877	0.6703	0.3730	6.000625	4.471660
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.113139	3.150443	5.788127	5.179411	7.063859	1.218818	0.191530	24.062795	0.7022	0.7165	0.3668	8.161341	6.576307
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.754142	1.174331	5.345546	4.774479	3.287524	3.080972	5.192611	7.892170	0.7543	0.7715	0.3290	12.241825	9.841789
2459574	RF_maintenance	100.00%	0.54%	0.00%	0.00%	100.00%	0.00%	2.673443	2.438818	5.540392	4.844602	8.075235	2.504631	1.191156	13.892149	0.6808	0.7122	0.3762	6.171329	4.960803
2459573	RF_maintenance	100.00%	1.08%	0.00%	0.00%	100.00%	0.00%	2.010573	2.457838	8.793480	8.216006	3.587105	0.356873	12.881270	26.409652	0.6658	0.7119	0.3790	5.571153	4.351749
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.399393	2.230997	5.402185	4.821480	3.947091	0.562252	10.180192	42.241548	0.6850	0.7180	0.3719	10.321784	7.129797
2459571	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	4.025476	3.987412	30.038830	17.902763	45.753063	115.907010	12.898703	135.674209	0.7058	0.7248	0.3752	nan	nan
2459570	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.584092	10.799396	0.464451	14.102748	0.955465	6.748980	1.607054	29.163290	0.7098	0.7334	0.3445	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.963644	2.426011	6.883795	6.241542	5.379662	1.058339	12.565431	12.711235	0.6969	0.7050	0.3780	7.289940	4.995516
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.055318	2.364568	-0.610777	6.794013	-1.768961	0.299357	1.759062	13.888194	0.7121	0.7149	0.3729	4.248215	3.405818
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.350941	2.828488	15.477377	13.142137	4.845055	0.421151	10.583624	22.040427	0.7072	0.7132	0.3731	5.486639	4.163605
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.830667	1.820082	-1.174900	3.496874	-0.309736	0.837349	5.786061	14.297976	0.7078	0.7178	0.3700	3.782414	2.916153
2459561	RF_maintenance	100.00%	3.79%	78.37%	0.00%	100.00%	0.00%	-0.208814	14.364293	-1.111075	11.039176	8.593459	71.925213	15.177758	16.677486	0.6792	0.2098	0.5103	3.690101	1.213712
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.186276	1.626988	-1.585932	3.236581	-1.329075	0.722016	13.566816	14.829124	0.7068	0.7133	0.3793	3.909243	3.019292
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.109315	1.769786	-1.087888	3.432750	-1.453173	0.539473	11.197105	14.799438	0.7081	0.7114	0.3686	3.463078	2.736080
2459558	RF_maintenance	100.00%	0.54%	0.00%	0.00%	100.00%	0.00%	2.707353	2.819923	6.970953	6.760530	8.621131	0.147829	11.070556	25.257112	0.7029	0.7118	0.3785	4.794665	3.563630
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.060339	3.127887	8.411512	7.365537	7.300855	1.453787	18.143182	51.289858	0.6933	0.7113	0.3775	4.194937	3.391299
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7067	0.7173	0.3782	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7067	0.7125	0.3773	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.204495	2.953823	12.621288	12.079055	12.424405	0.502908	2.485364	22.286280	0.7166	0.7112	0.3635	10.284407	9.165477
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.022190	1.439269	-0.300993	5.077686	-2.359461	0.543524	-0.038135	20.108775	0.7039	0.7161	0.3687	3.828041	3.003280
2459550	RF_maintenance	-	89.29%	89.29%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.2240	0.2184	0.0787	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.037320	2.531896	9.288210	9.163220	8.050308	0.957670	-0.900474	26.254614	0.7084	0.7140	0.3792	4.587419	3.369736
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.446406	3.468698	18.560920	18.253879	-0.038881	-0.457959	-0.233572	20.310965	0.7523	0.7632	0.3393	4.268197	3.269912
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.044227	4.778261	15.615549	15.076304	12.946369	3.979215	1.155998	40.785632	0.7203	0.7378	0.4031	7.846169	5.639193
2459535	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.910880	1.567201	0.754039	3.755971	-2.276735	1.519585	-0.079918	12.953352	0.7816	0.7836	0.3431	4.055621	3.064929
2459534	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.107591	1.382829	-0.210919	3.499386	-1.774863	1.367233	-0.292375	10.695248	0.7777	0.7712	0.3377	4.532170	3.584876
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.169843	3.472988	9.528806	8.071343	5.759444	1.187979	2.311975	28.409968	0.7036	0.7363	0.3899	4.055760	3.302516
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.736178	3.737007	12.609529	11.448140	8.239214	3.284141	-0.939584	22.895175	0.7350	0.7384	0.3734	5.698071	4.244287
2459530	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.335624	2.419364	-0.187664	3.552060	-2.313039	1.504157	-0.387106	13.859208	0.7355	0.7459	0.3795	4.979009	3.839889
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.433885	3.416433	9.998134	9.453556	19.132210	6.864156	-0.205828	9.680492	0.9119	0.9446	0.2766	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	2.963443	3.416848	13.473345	11.299098	6.479123	1.832018	-1.875954	26.161374	nan	nan	nan	7.376107	4.919815
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.610748	4.186910	12.684455	10.853698	4.599068	5.074096	-0.574119	31.648672	0.6921	0.7292	0.3193	4.304187	4.753710
2459513	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	4.755681	5.455024	28.334749	17.423191	14.756922	68.381689	5.184778	54.665654	0.8693	0.9089	0.2298	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.223205	2.148767	5.722205	8.226853	6.503515	5.268256	5.090068	12.389267	0.9217	0.9594	0.1705	0.000000	0.000000
2459505	RF_maintenance	100.00%	21.05%	21.05%	0.00%	100.00%	0.00%	3.305119	3.479870	7.085195	13.149690	230.971781	219.631440	24.803747	31.952088	0.7447	0.7218	0.1450	19.594029	17.139352
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.071283	7.371291	8.456500	11.895744	14.484002	16.267877	4.068207	11.375368	0.8872	0.8866	0.4099	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.026275	5.873718	7.668929	8.798868	11.364420	7.693452	8.457381	7.279957	0.8878	0.9151	0.3627	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.654265	7.378512	6.220027	8.770201	9.511065	9.608362	6.812696	6.591212	0.8934	0.9109	0.3507	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.909947	8.417284	7.563534	11.011434	9.724763	10.349813	15.408487	14.478804	0.8935	0.9458	0.1642	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.405425	8.664823	6.971840	9.112918	8.865304	10.300493	11.012852	12.147915	0.9038	0.9138	0.3894	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.402700	10.708933	7.753820	9.896585	12.134643	13.022247	3.483833	7.723846	0.9178	0.9393	0.3090	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.265210	10.635828	6.982375	9.204372	10.420514	12.123574	1.770577	6.258563	0.8888	0.9067	0.3750	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.749413	8.248240	6.303418	8.431681	9.152382	10.121265	1.877438	8.469471	0.8841	0.9026	0.4155	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.572450	8.986559	7.101747	9.299438	10.013355	10.427584	4.661635	12.046430	0.8819	0.8966	0.4307	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.362074	6.452082	12.404993	11.522786	9.526570	3.199280	14.531241	44.295450	0.7537	0.8036	0.3374	0.000000	0.000000
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.342280	6.384541	13.403484	13.030974	13.349949	5.460609	2.626730	21.544449	0.7893	0.8158	0.2694	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.388389	6.887850	15.052924	13.309378	11.508044	2.465621	-1.278396	36.268999	0.7528	0.8055	0.3610	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.945999	6.523301	14.266726	12.416611	11.144439	2.928841	-0.042562	26.944713	0.7704	0.8118	0.3140	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.154543	5.779330	12.589466	10.351255	11.866409	2.350754	-1.526680	64.289862	0.7719	0.8138	0.3405	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 121 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 121, Node 8:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 121: 2459628

Antenna 121: 2459627

Antenna 121: 2459626

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Antenna 121: 2459536

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶